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<h3><a id="index_b" name="index_b"></a>- b -</h3><ul>
<li>benchmark()&#160;:&#160;<a class="el" href="conv2d_8cpp.html#aa29c4b1ecd308e3486ba80c16f257484">conv2d.cpp</a>, <a class="el" href="gemm_8cpp.html#afef42b6a221387247b4aaa1a658a29ae">gemm.cpp</a>, <a class="el" href="potrf_8cpp.html#a86b76b5d9f7e943288e7395d313bfe5a">potrf.cpp</a>, <a class="el" href="syrk_8cpp.html#ab96e20f6ab413f64bb217d233bf34ae0">syrk.cpp</a>, <a class="el" href="trmm_8cpp.html#adaeed4f58083f671561bfa832a4f4e5e">trmm.cpp</a></li>
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<h3><a id="index_c" name="index_c"></a>- c -</h3><ul>
<li>cities&#160;:&#160;<a class="el" href="_t_s_p_8cpp.html#a51d1bfcd285f9ef842e7308cf36a686e">TSP.cpp</a></li>
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<li>createRandomFront()&#160;:&#160;<a class="el" href="hypervolume__algorithms_8cpp.html#aa54bec02fae0e9561799b09fc62b5da4">hypervolume_algorithms.cpp</a></li>
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<h3><a id="index_e" name="index_e"></a>- e -</h3><ul>
<li>Edge&#160;:&#160;<a class="el" href="_t_s_p_8cpp.html#a937736e62dd4d4c5fe8bc7b9de4c8833">TSP.cpp</a></li>
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<h3><a id="index_g" name="index_g"></a>- g -</h3><ul>
<li>GaussianProcessTrainer&#160;:&#160;<a class="el" href="_regularization_network_trainer_8h.html#acdbabc51c90826fd530a53da86495b7c">RegularizationNetworkTrainer.h</a></li>
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<h3><a id="index_h" name="index_h"></a>- h -</h3><ul>
<li>HV&#160;:&#160;<a class="el" href="_hypervolumes_8h.html#ae45f929c1accb39966815fef7e87b535">Hypervolumes.h</a></li>
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</ul>


<h3><a id="index_i" name="index_i"></a>- i -</h3><ul>
<li>INCREMENT_KERNEL_COUNTER&#160;:&#160;<a class="el" href="_abstract_kernel_function_8h.html#a6b3350b06ce58818fa3509b6ec779aef">AbstractKernelFunction.h</a></li>
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<h3><a id="index_l" name="index_l"></a>- l -</h3><ul>
<li>loadData()&#160;:&#160;<a class="el" href="regression_tutorial_8cpp.html#ad9a82dce825dd1110b854d9d98da92c5">regressionTutorial.cpp</a></li>
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<h3><a id="index_m" name="index_m"></a>- m -</h3><ul>
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href="regression_tutorial_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">regressionTutorial.cpp</a>, <a class="el" href="_r_f_tutorial_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">RFTutorial.cpp</a>, <a class="el" href="_stopping_criteria_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">StoppingCriteria.cpp</a>, <a class="el" href="_subrange_kernel_tutorial_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">SubrangeKernelTutorial.cpp</a>, <a class="el" href="_auto_encoder_tutorial_8cpp.html#a3c04138a5bfe5d72780bb7e82a18e627">AutoEncoderTutorial.cpp</a>, <a class="el" href="_binary_r_b_m_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">BinaryRBM.cpp</a>, <a class="el" href="_hierarchical_clustering_8cpp.html#a3c04138a5bfe5d72780bb7e82a18e627">HierarchicalClustering.cpp</a>, <a class="el" href="_k_means_tutorial_8cpp.html#a3c04138a5bfe5d72780bb7e82a18e627">KMeansTutorial.cpp</a>, <a class="el" href="_one_class_svm_8cpp.html#a3c04138a5bfe5d72780bb7e82a18e627">OneClassSvm.cpp</a>, <a class="el" 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</ul>


<h3><a id="index_n" name="index_n"></a>- n -</h3><ul>
<li>noise&#160;:&#160;<a class="el" href="_mc_svm_linear_8cpp.html#a607bc7e80f2934c0edc34bb19b401332">McSvmLinear.cpp</a></li>
<li>noise_dim&#160;:&#160;<a class="el" href="_c_svm_max_likelihood_m_s_8cpp.html#a49fd79afb77ad8240bd8d0e6d6f66c5f">CSvmMaxLikelihoodMS.cpp</a></li>
<li>numberOfExamples&#160;:&#160;<a class="el" href="_p_c_a_8cpp.html#aeaeb0a774c6611bbc82b86d4aa9ece28">PCA.cpp</a></li>
</ul>


<h3><a id="index_p" name="index_p"></a>- p -</h3><ul>
<li>Population&#160;:&#160;<a class="el" href="_t_s_p_8cpp.html#a64dfcdc1a48639f7e4e3cb79e17f0018">TSP.cpp</a></li>
<li>principalComponents&#160;:&#160;<a class="el" href="_p_c_a_8cpp.html#a7883ae9c3cb096c720995c7c622d392b">PCA.cpp</a></li>
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<h3><a id="index_r" name="index_r"></a>- r -</h3><ul>
<li>RANGE_CHECK&#160;:&#160;<a class="el" href="_exception_8h.html#abd848215f138fc44f696aecb3e417e6c">Exception.h</a></li>
<li>REMORA_BINARY_MATRIX_EXPRESSION&#160;:&#160;<a class="el" href="matrix__expression_8hpp.html#a77a0858c5d5a743aa8fed565d4ebd9a0">matrix_expression.hpp</a></li>
<li>REMORA_BINARY_VECTOR_EXPRESSION&#160;:&#160;<a class="el" href="vector__expression_8hpp.html#ad9920706050fed77e2202a7dc91e0724">vector_expression.hpp</a></li>
<li>REMORA_LAPACK_DSYEV&#160;:&#160;<a class="el" href="lapack_2syev_8hpp.html#abd228eefcda1b729299afd527b6993f8">syev.hpp</a></li>
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<li>REMORA_MATRIX_SCALAR_TRANSFORMATION_2&#160;:&#160;<a class="el" href="matrix__expression_8hpp.html#ae4ca8098917f6b8c6889fb9a48794ed9">matrix_expression.hpp</a></li>
<li>REMORA_STD_UNARY_FUNCTION&#160;:&#160;<a class="el" href="cpu_2traits_8hpp.html#ad3cc3e6a429cfd41f6c56ee404d85e07">traits.hpp</a></li>
<li>REMORA_UNARY_MATRIX_TRANSFORMATION&#160;:&#160;<a class="el" href="matrix__expression_8hpp.html#a50913d50d75644864ae34bb5e07d34f7">matrix_expression.hpp</a></li>
<li>REMORA_UNARY_VECTOR_SET_TRANSFORMATION&#160;:&#160;<a class="el" href="matrix__expression_8hpp.html#a09e24081cd980290af44c0e27084c10c">matrix_expression.hpp</a></li>
<li>REMORA_UNARY_VECTOR_TRANSFORMATION&#160;:&#160;<a class="el" href="vector__expression_8hpp.html#a72b6fee013e78807bcbbe72967455aef">vector_expression.hpp</a></li>
<li>REMORA_USE_CBLAS&#160;:&#160;<a class="el" href="_shark_8h.html#a9355b7423db766c84577fa142d4d5b82">Shark.h</a></li>
<li>REMORA_VECTOR_LENGTH&#160;:&#160;<a class="el" href="simd_8hpp.html#a5d5b19a0bd167819a49f0be0f6e90d2a">simd.hpp</a></li>
<li>REMORA_VECTOR_SCALAR_TRANSFORMATION&#160;:&#160;<a class="el" href="vector__expression_8hpp.html#a9601985691efa07fb67fb7cab3627b17">vector_expression.hpp</a></li>
<li>REMORA_VECTOR_SCALAR_TRANSFORMATION_2&#160;:&#160;<a class="el" href="vector__expression_8hpp.html#a24437fa1bd4f0db641264e7b35d21547">vector_expression.hpp</a></li>
<li>run()&#160;:&#160;<a class="el" href="logistic__regression___s_a_g_8cpp.html#af86d7c9886488dc99c56ffe6e320d549">logistic_regression_SAG.cpp</a></li>
<li>run_one_trial()&#160;:&#160;<a class="el" href="_c_svm_max_likelihood_m_s_8cpp.html#a28267e6f7ec1120183ffd7ae7a9a60d2">CSvmMaxLikelihoodMS.cpp</a></li>
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<h3><a id="index_s" name="index_s"></a>- s -</h3><ul>
<li>S&#160;:&#160;<a class="el" href="_r_v_e_a_8h.html#a9d2dc49fb253b5729d15f1cba751ed76">RVEA.h</a></li>
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<li>SHARK_CREATE_BATCH_INTERFACE&#160;:&#160;<a class="el" href="_batch_interface_adapt_struct_8h.html#aba1e9bf6ae9ccc91fada2d28466e338a">BatchInterfaceAdaptStruct.h</a></li>
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<li>SHARK_CREATE_BATCH_ITERATORS&#160;:&#160;<a class="el" href="_batch_interface_adapt_struct_8h.html#ae1aa584c7dfe0c1a78912e2ac8df61e6">BatchInterfaceAdaptStruct.h</a></li>
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<li>SHARK_CRITICAL_REGION&#160;:&#160;<a class="el" href="_open_m_p_8h.html#a6de33df9d72bea69f903cffb391e7121">OpenMP.h</a></li>
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<li>SHARK_FEATURE_CHECK&#160;:&#160;<a class="el" href="_flags_8h.html#a95d5afc0e78008e990ba3fe22427c75e">Flags.h</a></li>
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<li>SHARK_FEATURE_EXCEPTION_DERIVED&#160;:&#160;<a class="el" href="_flags_8h.html#aabce93ad7a4ffa638fa51321701ad1aa">Flags.h</a></li>
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<li>SHARK_NUM_THREADS&#160;:&#160;<a class="el" href="_open_m_p_8h.html#afe4c8d5e3dea340345071efe7bf69a0a">OpenMP.h</a></li>
<li>SHARK_PARALLEL_FOR&#160;:&#160;<a class="el" href="_open_m_p_8h.html#a8a63d79e2c3625260e6092d933f21a98">OpenMP.h</a></li>
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<li>SHARK_THREAD_NUM&#160;:&#160;<a class="el" href="_open_m_p_8h.html#a24697345975eb5504b786009159a1f5b">OpenMP.h</a></li>
<li>SHARK_TRANSFORM_BATCH_ATTRIBUTES&#160;:&#160;<a class="el" href="_batch_interface_adapt_struct_8h.html#a31e0e3b6fe583e6e8759caf7543458f4">BatchInterfaceAdaptStruct.h</a></li>
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<li>SHARK_TRANSFORM_BATCH_ATTRIBUTES_TPL&#160;:&#160;<a class="el" href="_batch_interface_adapt_struct_8h.html#a495d96dfcbaf33d5e5fd0b5e0b1153fe">BatchInterfaceAdaptStruct.h</a></li>
<li>SHARK_TRANSFORM_BATCH_ATTRIBUTES_TPL_IMPL&#160;:&#160;<a class="el" href="_batch_interface_adapt_struct_8h.html#a4c0ba4bf05f514a47fd19c2436cd0137">BatchInterfaceAdaptStruct.h</a></li>
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<h3><a id="index_t" name="index_t"></a>- t -</h3><ul>
<li>total_dim&#160;:&#160;<a class="el" href="_c_svm_max_likelihood_m_s_8cpp.html#af16c93980706ff7c02d0c8d86300d7af">CSvmMaxLikelihoodMS.cpp</a></li>
<li>Tour&#160;:&#160;<a class="el" href="_t_s_p_8cpp.html#a2394fedbbb33f45e33ab367231294820">TSP.cpp</a></li>
<li>trainProblem()&#160;:&#160;<a class="el" href="_c_v_folds_8cpp.html#a56b168be2277393c3cb5e6f917fc0831">CVFolds.cpp</a></li>
<li>trainRBM()&#160;:&#160;<a class="el" href="_deep_network_training_r_b_m_8cpp.html#a05058126c2d28e9b8008edd10500114d">DeepNetworkTrainingRBM.cpp</a></li>
</ul>


<h3><a id="index_u" name="index_u"></a>- u -</h3><ul>
<li>useful_dim&#160;:&#160;<a class="el" href="_c_svm_max_likelihood_m_s_8cpp.html#a474fced219be2c88d778a434fe5fc34d">CSvmMaxLikelihoodMS.cpp</a></li>
</ul>


<h3><a id="index_v" name="index_v"></a>- v -</h3><ul>
<li>VectorType&#160;:&#160;<a class="el" href="_c_svm_linear_8cpp.html#ab106d665148183a2dc94dcf8716c9203">CSvmLinear.cpp</a>, <a class="el" href="_mc_svm_linear_8cpp.html#ae8c0e9d31313c53245d8300571332506">McSvmLinear.cpp</a></li>
<li>Vertex&#160;:&#160;<a class="el" href="_t_s_p_8cpp.html#a8c93f604acf57e6a9bae1f91c379ac98">TSP.cpp</a></li>
</ul>


<h3><a id="index_w" name="index_w"></a>- w -</h3><ul>
<li>WeightMap&#160;:&#160;<a class="el" href="_t_s_p_8cpp.html#a7127d80548c23ba3b529a9c52cf30b63">TSP.cpp</a></li>
</ul>
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